posted by user: tawalaya || 1316 views || tracked by 2 users: [display]

DaMove 2019 : 1st Workshop on Efficient Data Movement in Fog Computing

FacebookTwitterLinkedInGoogle

Link: http://damove.ditas-project.eu/
 
When Jun 24, 2019 - Jun 26, 2019
Where Prague, Czech Republic
Submission Deadline Apr 5, 2019
Notification Due Apr 19, 2019
Final Version Due Apr 30, 2019
Categories    fog computing   cloud computing   data movement   data logistics
 

Call For Papers

Fog computing paradigm mantra suggests to move the computation closer to where the data are generated to reduce the data traffic and improve the performance of networked systems. These systems are currently available in many domains: e.g., Smart Cities, Smart Transportation, Smart Industries. Data are usually collected by sensors, sent to the Cloud for the analysis and the result (other data) sent back to the edge to configure actuators. Although the current trend suggests to move the computation to where the data are generated, salability and reliability offered by the Cloud cannot be replaced by any Edge environment. For this reason, data movement from the edge to the cloud must be preserved but also properly managed to not violate privacy and security issues.

On this basis it is urgent to define solutions able to drive decisions on how, when, and where data must be moved considering the impact of such decisions on the quality of the system especially in terms of latency, data security and privacy, reliability. The goal of the workshop is to bring together researchers and practitioners in the area of Fog Computing in order to present and discuss methods and techniques to make the data movement efficient in Fog Computing.

DaMove welcomes both research papers and industry paper submissions as well as demonstrators. Specific topics of interest include but are not limited to:
- Data transformation while moving data in Fog Computing
- Security issues in Data movement in Fog Computing
- Data stream optimization in Fog Computing
- Data movement strategies selection
- Sensors-data data movement optimization
- Efficient Databases and data stores movement
- Implication of data movement in computation movement
- Data movement techniques in Smart Cities, Smart Industry, Smart Agriculture, Smart Logistics

Submission details:

Submitted manuscripts should be structured as technical papers and may not exceed six (6) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. Up to two (2) addtional pages can be purchases if needed.

Authors should submit the manuscript in PDF format. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, rigour in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the paper submission system https://easychair.org/conferences/?conf=damove2019 powered by EasyChair.org.

Related Resources

CCGRID 2020   20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
EI-ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
IEEE Mobile Cloud 2019   The Seventh IEEE International Conference on Mobile Cloud Computing, Services, and Engineering
DMA 2020   6th International Conference on Data Mining and Applications
ICBDC--ACM, Ei and Scopus 2020   ACM--2020 5th International Conference on Big Data and Computing (ICBDC 2020)--Ei Compendex, Scopus
ACM--CSAI--Ei, Scopus 2019   ACM--2019 3rd International Conference on Computer Science and Artificial Intelligence (CSAI 2019)--Ei Compendex, Scopus
HCC14   Human-Centric Computing in a Data-Driven Society
ACMLC--JA, Scopus 2019   2019 3rd Asia Conference on Machine Learning and Computing (ACMLC 2019)--JA, Scopus
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
Cognitive Computing 2020   Cognitive Computing with Big Data System over Secure Internet of Things